AnalysisResultsFisher {rpact} | R Documentation |

Class for analysis results based on a Fisher combination test design.

This object cannot be created directly; use `getAnalysisResults`

with suitable arguments to create the analysis results of a Fisher combination test design.

`normalApproximation`

Describes if a normal approximation was used when calculating p-values. Default for means is

`FALSE`

and`TRUE`

for rates and hazard ratio. Is a logical vector of length 1.`directionUpper`

Specifies the direction of the alternative, only applicable for one-sided testing. Default is

`TRUE`

which means that larger values of the test statistics yield smaller p-values. Is a logical vector of length 1.`thetaH0`

The difference or assumed effect under H0. Is a numeric vector of length 1.

`pi1`

The assumed probability or probabilities in the active treatment group in two-group designs, or the alternative probability for a one-group design.

`pi2`

The assumed probability in the reference group for two-group designs. Is a numeric vector of length 1 containing a value between 0 and 1.

`nPlanned`

The sample size planned for each of the subsequent stages. Is a numeric vector of length

`kMax`

containing whole numbers.`allocationRatioPlanned`

The planned allocation ratio (

`n1 / n2`

) for the groups. For multi-arm designs, it is the allocation ratio relating the active arm(s) to the control. Is a positive numeric vector of length 1.`thetaH1`

The assumed effect under the alternative hypothesis. For survival designs, refers to the hazard ratio. Is a numeric vector.

`assumedStDev`

The assumed standard deviation(s) for means analysis. Is a numeric vector.

`equalVariances`

Describes if the variances in two treatment groups are assumed to be the same. Is a logical vector of length 1.

`testActions`

The test decisions at each stage of the trial. Is a character vector of length

`kMax`

.`conditionalRejectionProbabilities`

The probabilities of rejecting the null hypothesis at each stage, given the stage has been reached. Is a numeric vector of length

`kMax`

containing values between 0 and 1.`conditionalPower`

The conditional power at each stage of the trial. Is a numeric vector of length 1 containing a value between 0 and 1.

`repeatedConfidenceIntervalLowerBounds`

The lower bound of the confidence intervals that are calculated at any stage of the trial. Is a numeric vector of length

`kMax`

.`repeatedConfidenceIntervalUpperBounds`

The upper bound of the confidence interval that are calculated at any stage of the trial. Is a numeric vector of length

`kMax`

.`repeatedPValues`

The p-values that are calculated at any stage of the trial. Is a numeric vector of length

`kMax`

containing values between 0 and 1.`finalStage`

The stage at which the trial ends, either with acceptance or rejection of the null hypothesis. Is a numeric vector of length 1.

`finalPValues`

The final p-value that is based on the stage-wise ordering. Is a numeric vector of length

`kMax`

containing values between 0 and 1.`finalConfidenceIntervalLowerBounds`

The lower bound of the confidence interval that is based on the stage-wise ordering. Is a numeric vector of length

`kMax`

.`finalConfidenceIntervalUpperBounds`

The upper bound of the confidence interval that is based on the stage-wise ordering. Is a numeric vector of length

`kMax`

.`medianUnbiasedEstimates`

The calculated median unbiased estimates that are based on the stage-wise ordering. Is a numeric vector of length

`kMax`

.`conditionalPowerSimulated`

The simulated conditional power, under the assumption of observed or assumed effect sizes.

`iterations`

The number of iterations used for simulations. Is a numeric vector of length 1 containing a whole number.

`seed`

The seed used for random number generation. Is a numeric vector of length 1.

[Package *rpact* version 4.0.0 Index]